Japke A.E. Polman

718 citations
9 papers · 537 indexed · h-index 9
Topics
Stress Responses and Cortisol (4 papers)Estrogen and related hormone effects (4 papers)Hormonal Regulation and Hypertension (3 papers)

In The Last Decade

Japke A.E. Polman

9 papers receiving 521 citations

Peers

Japke A.E. Polman
Comparison fields: 5 of 81
  • Molecular Biology 184
  • Behavioral Neuroscience 175
  • Endocrinology, Diabetes and Metabolism 138
  • Genetics 97
  • Pediatrics, Perinatology and Child Health 61
Replace Fernando Maurício Francis Abdalla with:
Fernando Maurício Francis Abdalla Brazil
Adam B. Johnson United States
Donna M. Porter United States
Domenica Russo Italy
Bryan R. Becklund United States
Shannon W. Davis United States
Viktoria Johansson Sweden
H. D. PURVES New Zealand
Wilfried Allaerts Netherlands
Guido Palladini Italy
Japke A.E. Polman relative to Fernando Maurício Francis Abdalla Brazil Fernando Maurício Francis Abdalla's profile →
Citations per field
00.5×7.6×
Fernando Maurício Francis Abdalla · 1×
Citations per year

Countries citing papers authored by Japke A.E. Polman

Since Specialization
Citations

This map shows the geographic impact of Japke A.E. Polman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Japke A.E. Polman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Japke A.E. Polman more than expected).

Fields of papers citing papers by Japke A.E. Polman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Japke A.E. Polman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Japke A.E. Polman. The network helps show where Japke A.E. Polman may publish in the future.

Co-authorship network of co-authors of Japke A.E. Polman

This figure shows the co-authorship network connecting the top 25 collaborators of Japke A.E. Polman. A scholar is included among the top collaborators of Japke A.E. Polman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Japke A.E. Polman. Japke A.E. Polman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 59
2 78
3 80
4 81
5 60
6 8
7 60
8 64
9 47

About Japke A.E. Polman

Japke A.E. Polman is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Genetics, having authored 9 papers that have together received 537 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Estrogen and related hormone effects (4 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Behavioral Neuroscience (175 citations), Biological Psychiatry (39 citations) and Endocrinology, Diabetes and Metabolism (138 citations). Japke A.E. Polman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Nicole A. Datson, E. R. de Kloet, Bruce S. McEwen, Judit Balog, Onno C. Meijer, Michael K. Richardson, Sharon M. H. Gobes, Silvère M. van der Maarel, Nynke M. S. van den Akker and Adriana C. Gittenberger–de Groot. Their work appears in journals such as PLoS ONE, Endocrinology and BMC Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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